Article

SGEMM for Intel® Processor Graphics

Introduction

General Matrix Multiply

cl_intel_subgroups Extension

作者: 最后更新时间: 2019/05/17 - 12:00
Article

Enabling HEVC with Intel® Media Server Studio-Professional Edition

HEVC

作者: Surbhi M. (Intel) 最后更新时间: 2019/03/11 - 14:31
Article

OpenCL™ Out-of-Order Queue on Intel® Processor Graphics

This paper details the implementation of out of order queues, an OpenCL™ construct that allows independent kernels to execute simultaneously whenever possible, and thus keep all GPU assets fully utilized.
作者: Danyu Bi (Intel) 最后更新时间: 2019/05/31 - 14:20
Article

Faster Video Processing for Linux* Apps with New GStreamer* Plugins for Intel® Media SDK

Optimize for High Performance Video Codecs How to Install for Generic Linux Distributions 
作者: Liu, Mark (Intel) 最后更新时间: 2019/08/02 - 18:23
Article

An Example of a Convolutional Neural Network for Image Super-Resolution

Convolutional Neural Networks (CNN) are becoming mainstream in computer vision. In particular, CNNs are widely used for high-level vision tasks, like image classification. This article describes an example of a CNN for image super-resolution (SR), which is a low-level vision task, and its implementation using the Intel® Distribution for Caffe* framework and Intel® Distribution for Python*.
作者: Alberto V. (Intel) 最后更新时间: 2018/01/24 - 15:35
Article

一个面向图像超高分辨率的低级视觉任务示例

本文(及相关教程)介绍了一个面向图像超高分辨率 (SR) 的 CNN 示例(低级视觉任务)以及如何使用英特尔® Caffe* 分发包框架和英特尔® Python* 分发包进行实施。
作者: Alberto V. (Intel) 最后更新时间: 2018/01/24 - 15:35
Article

An Operation Guide to Build and Debug Open Source Media SDK Software Stack

The Goal
作者: Liu, Mark (Intel) 最后更新时间: 2018/08/07 - 08:42
Article

Improve Encoding Efficiency and Video Quality with Adaptive LTR

Introduction
作者: Liu, Mark (Intel) 最后更新时间: 2018/07/09 - 09:05
Article

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

作者: Liu, Mark (Intel) 最后更新时间: 2019/07/03 - 20:07
Article

探索专门用于英特尔® 架构的 Unity Technologies ML-Agents*

本文描述了如何在仅限 CPU 的环境中安装并运行 Unity Technologies ML-Agents*。本文展示了如何:在 Windows* 上训练并运行 ML-Agents,执行 TensorFlow* CMake 构建,以及从零创建一个简单的 Amazon Web Services Ubuntu* Amazon Machine Image* 环境。
作者: Bryan B. (Intel) 最后更新时间: 2019/07/05 - 18:55